A5040533485- Remote Sensing in Agriculture
- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
- Spectroscopy and Chemometric Analyses
- Animal Behavior and Welfare Studies
- Water Quality Monitoring and Analysis
- Soybean genetics and cultivation
- Research in Cotton Cultivation
- Agriculture and Farm Safety
- Human-Animal Interaction Studies
- Remote Sensing and LiDAR Applications
- Cassava research and cyanide
- Nematode management and characterization studies
University of Missouri
2022-2024
Weeds can cause significant yield losses and will continue to be a problem for agricultural production due climate change. Dicamba is widely used control weeds in monocot crops, especially genetically engineered dicamba-tolerant (DT) dicot such as soybean cotton, which has resulted severe off-target dicamba exposure substantial non-tolerant crops. There strong demand non-genetically DT soybeans through conventional breeding selection. Public programs have identified genetic resources that...
The wide adoption of dicamba-tolerant (DT) soybean has led to numerous cases off-target dicamba damage non-DT and dicot crops. This study aimed develop a method differentiate response using unmanned-aerial-vehicle-based imagery machine learning models. Soybean lines were visually classified into three classes injury, i.e., tolerant, moderate, susceptible dicamba. A quadcopter with built-in RGB camera was used collect images field plots at height 20 m above ground level. Seven image features...
<b><sc>Abstract.</sc></b> Though dicamba tolerant soybean genotypes are widely adopted by the world, but non-resistant still in fields and subjected to exposure as off-target damage reported farmers from past couple of years. Non-resistant vulnerable dicamba, severity depends on growth stage, dosage, frequency, duration exposure, potential genetic background. From few years, development crop high-throughput phenotyping has shown assessing traits response different stages life cycle. The goal...